Triple

T9139599
Position Surface form Disambiguated ID Type / Status
Subject TAE E219289 entity
Predicate refersTo P37 FINISHED
Object Terminal Aérea E602446 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Terminal Aérea | Statement: [TAE, refersTo, Terminal Aérea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal Aérea
Context triple: [TAE, refersTo, Terminal Aérea]
  • A. Terminal Aérea chosen
    Terminal Aérea is a Mexico City Metro station that serves the area around the Mexico City International Airport, providing convenient transit access for air travelers.
  • B. Aeropuerto T2
    Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
  • C. Airport
    "Airport" is the musical score composed by Alfred Newman for the 1970 disaster film of the same name, noted for its dramatic orchestral themes that underscore the movie’s tension and romance.
  • D. Terminal A
    Terminal A is one of the main passenger terminals at Luis Muñoz Marín International Airport in San Juan, Puerto Rico, serving commercial airline operations and traveler services.
  • E. Terminal A
    Terminal A is one of the main passenger terminals at San Jose International Airport, serving airline check-in, security, boarding gates, and baggage claim for departing and arriving travelers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545584e08190bda111f2c6163a4a completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:19 p.m.